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Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings
This article, featured in the December 2023 edition of the journal, Resources, Conservation and Recycling, focuses on a cost-efficient data-driven approach to evaluating comprehensive hazardous materials in existing buildings. Access an abstract of the article here.
Publication Date: 11 Dec 2023
Author: P. Wu, T. Johansson, M. Mangold, C. Sandels, K. Mjornell
BuiltHub Platform General introduction and functionalities
This presentation provides an outline of the BuiltHub platform and its functionalities.
Publication Date: 30 Nov 2023
BuiltHub Pioneer user training: Machine Learning in building stock analysis
This presentation is from a BuiltHub Pioneer User Training, which provides an outline of machine learning within the scope of the building stock analysis.
Publication Date: 30 Nov 2023
Author: T. Johansson, M. Mangold
Building stock progress monitoring report (Deliverable 2.5)
This project deliverable aims to gather insight on the monitoring of the building stock regarding its progress towards decarbonisation. It is a draft version, with the final version being produced at the conclusion of the project. This deliverable is still to be reviewed by the European Commission.
Publication Date: 13 Nov 2023
Author: J. Kockat, J. Amorocho
Report on Data Visualisation (Deliverable 4.5)
This project deliverable provides guidelines for the IT implementation and ideas for providing user-friendly visualizations in the BuiltHub platform. Final deliverable still to be reviewed by the European Commission.
Publication Date: 13 Nov 2023
Author: J. Kockat, I. Maia, C. Alonso, E. Özer
